Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCProcessMonitor show me the top 5 CPU consuming processes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Model Context Protocol (MCP) - Bridge between AI and your tools
Open protocol for connecting AI assistants to external data/tools
Enables AI to execute custom functions in your environment
Works with GitHub Copilot Chat
Custom MCP server exposing system process information
AI can now answer questions about running processes
No internet required - runs entirely local
"How many processes are currently running?"
Uses get_process_count tool
"Show me the top 5 CPU consuming processes"
Uses get_top_cpu_processes tool
"What are the most memory-intensive processes?"
Uses get_top_memory_processes tool
"Which processes have multiple instances running?"
Uses get_process_instances tool
"Find all node processes"
Uses find_process_by_name tool with "node"
"What's consuming the most resources on my system?"
AI will intelligently combine multiple tools
This server cannot be deployed
A registry of AI agent tools — MCP servers, APIs, CLIs, SDKs — kept current by automated ingestion.
Live index of AI agents, MCP servers and tools with observed liveness and capability search.
Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.
Monitors TLS/SSL certificate expiry, DNS resolution, and TCP port status for AI agents.
